Fact Checker — Verify Claims with Web Evidence
MCP ServerFreeAI-powered fact-checking API for AI agents. Verify any factual claim with web evidence: searches multiple sources, assesses credibility, provides supporting/contradicting URLs, and returns confidence level (confirmed/likely/unverified/false). Tools: research_check_fact. Use this before repeating c
Capabilities3 decomposed
web evidence-based claim verification
Medium confidenceThis capability verifies factual claims by conducting web searches across multiple sources and assessing their credibility. It employs a scoring mechanism to evaluate the reliability of each source and aggregates the findings to provide a verdict on the claim's accuracy. The architecture allows for seamless integration with AI agents via the x402 micropayment system, enabling low-cost, efficient access to fact-checking services without requiring an API key.
Utilizes a micropayment model for each fact-checking call, allowing for cost-effective usage without the need for an API key, which is uncommon in similar services.
More affordable and accessible than traditional fact-checking APIs that require subscriptions or API keys.
confidence level assessment
Medium confidenceThis capability assigns a confidence level to each claim based on the aggregated evidence retrieved from various sources. It uses a scoring algorithm that weighs the credibility of sources and the consistency of the information found. The system is designed to provide nuanced verdicts such as 'confirmed', 'likely', 'unverified', or 'false', which helps users understand the reliability of the claim.
Incorporates a multi-source credibility scoring system that dynamically adjusts the confidence level based on the quality of evidence, providing a more sophisticated assessment than simple true/false outputs.
Offers a more detailed and graded approach to claim verification compared to binary fact-checking tools.
source aggregation and citation
Medium confidenceThis capability retrieves and aggregates multiple sources that either support or contradict a claim, providing users with a comprehensive view of the evidence. It formats the output to include URLs and brief descriptions of each source, allowing users to verify the information independently. The integration with web search APIs ensures that the most relevant and credible sources are prioritized.
Focuses on providing a rich set of supporting and contradicting sources, which is often overlooked in other fact-checking tools that may only return a single source or verdict.
More comprehensive in providing diverse perspectives compared to tools that offer limited source citations.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓developers building AI agents that require reliable fact-checking capabilities
- ✓content creators and developers needing to ensure the accuracy of information
- ✓journalists and researchers looking for reliable sources for their articles
Known Limitations
- ⚠Dependent on the availability and credibility of online sources; may not cover niche topics thoroughly.
- ⚠Confidence levels are subjective and depend on the quality of sources available; may not be definitive.
- ⚠The quality and relevance of sources can vary; may not always find sufficient evidence for less common claims.
Requirements
Input / Output
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Repository Details
About
AI-powered fact-checking API for AI agents. Verify any factual claim with web evidence: searches multiple sources, assesses credibility, provides supporting/contradicting URLs, and returns confidence level (confirmed/likely/unverified/false). Tools: research_check_fact. Use this before repeating claims, for content moderation, or building trustworthy AI systems. Essential for reducing hallucinations. IMPORTANT: For web search without fact assessment, use web_search_query. Returns: {verdict, confidence, sources[], evidence[]}. No API key required — x402 micropayment $0.005/call on Base L2.
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